이 세션에서는 SageMaker Training Jobs / SageMaker Jumpstart를 사용하여 Foundation Model 을 Pre-Triaining 하거나 Fine Tuing 하는 방안을 제시합니다. 이 세션을 통해 아래 3가지가 소개됩니다.
1. 파운데이션 모델을 처음부터 Training
2. 오픈 소스 모델을 사용하여 파운데이션 모델을 Pre-Training
3. 도메인에 맞게 모��을 Fine Tuning하는 방안
발표자:
Miron Perel, Principal ML GTM Specialist, AWS
Kristine Pearce, Principal ML BD, AWS
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Machine learning (ML) offers innovation for every business. But until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker, a fully managed service that enables developers and data scientists to build, train, and deploy ML models at scale, overcomes these barriers. We review its capabilities, including data labeling, model building, model training, tuning, and production hosting.
Learn how to get started with Amazon SageMaker—our fully-managed service that spans the entire machine learning (ML) workflow—so you can build, train, and deploy models quickly. Use Amazon SageMaker to label and prepare your data, choose an algorithm, train, tune, and optimize it for deployment, make predictions, and take action. Get your models to production faster with Amazon SageMaker SDKs, builder tools, and APIs tailored to your programming language or platform. Also, discover how Amazon SageMaker Ground Truth can aid in the adoption of ML technology for your organization.
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Artificial Intelligence (AI) services on the AWS cloud bring the experience of Amazon and power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the history of AI at Amazon and explore the opportunities to apply one or more of the AI services provide a number of examples and use cases to help you get started.
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This session introduces AWS Global Accelerator, a new global service that enables you to optimally route traffic to your multi-regional endpoints via static anycast IP addresses that are announced from the expansive AWS edge network. This session walks through the architecture, features, and customer use cases for Global Accelerator and content delivery use cases for Amazon CloudFront. We demonstrate how you can use Global Accelerator to achieve near-zero application downtime and reduce latency. This session is for those who want to accelerate performance of global applications, achieve high availability for mission-critical applications, and easily manage multiple IP addresses.
Supercharge Your ML Model with SageMaker - AWS Summit Sydney 2018Amazon Web Services
Supercharge Your Machine Learning Model with Amazon SageMaker
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Koorosh Lohrasbi, Solutions Architect, Amazon Web Services
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Recommendation is one of the most popular applications in machine learning (ML). In this workshop, we’ll show you how to build a movie recommendation model based on factorization machines — one of the built-in algorithms of Amazon SageMaker — and the popular MovieLens dataset.
#AI + #ML + #Robotics combination is a game-changer, so #ServerlessTO members were lucky to have Alex Barbosa Coqueiro - Public Sector Solutions Architect Manager at AWS Canada, introduce us to AWS Robomaker & AWS DeepRacer!
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Video at: https://youtu.be/t8bo9gOveoo
In this sessions, learn the basics of HPC on AWS and watch a demonstration on how to launch a large cluster.
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The document discusses preparing teams for a cloud transformation. It recommends forming a Cloud Center of Excellence (CCOE) with cross-functional two-pizza sized teams focused on delivering quick wins. The CCOE should include product managers, architects, engineers focused on infrastructure, security, operations and applications. It also recommends starting with a minimum viable cloud to build capability before fully migrating workloads and optimizing for cloud native architectures over time. Training, certification and leadership commitment are key to support the transformation.
Predicting Demand In A Diverse Retail Environment - AWS Summit SydneyAmazon Web Services
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Similar to [D2T2S04] SageMaker를 활용한 Generative AI Foundation Model Training and Tuning (20)
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2. Software installation(for computer, and tablet or mobile devices)
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5. Create the data entry forms
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7. Add Edits to the Data Entry Application
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Data analytics is a powerful tool that can transform business decision-making across industries. Contact District 11 Solutions, which specializes in data analytics, to make informed decisions and achieve your business goals.
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